Smarter Ticket Routing for Apify Teams
Turn Ticket Routing into a background job. Arahi AI agents use Apify to execute on your behalf, 24/7.
23 tickets routed in the last hour. Latest billing escalation:
Customer
“We were charged twice for our March seat-add ($840 overage). Need this resolved before Friday's board meeting.”
Agent draft · in your tone
Hi Theo — apologies for the double-charge. Refund of $840 has been queued (3–5 business days), and I've flagged the seat-add webhook bug for engineering. I'll personally confirm the refund as soon as Stripe clears it.
How does Apify work for ticket routing automation?
Apify works for ticket routing automation by powering an Arahi AI agent that runs the workflow end-to-end inside your existing tools — no code, no custom build. The agent connects to Apify alongside the other apps your team already uses, watches for the triggers that matter for ticket routing, and takes the next step on its own while keeping a complete audit trail for review. AI categorizes and prioritizes support tickets the moment they arrive — no manual triage needed. Teams typically see instant to the right queue and agent once the agent is in production. You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the inbound ticket and classify the topic
- 2Pull the customer's plan, history, and SLA
- 3Draft a response in your support team's voice
- 4Resolve directly or hand off with full context
Get started in three steps
Connect Apify
Authorize Apify and Arahi AI hooks into your issues, repos, and deployment pipelines.
Configure Dev Workflows
Define triggers for Apify events — new issues, PR merges, build failures — and the AI actions to take.
Ship Faster with Less Toil
AI automates the tedious parts of your Apify workflow. Track issues triaged, alerts handled, and developer time saved.
Hi Theo — apologies for the double-charge. Refund of $840 has been queued (3–5 business days), and I've flagged the seat-add webhook bug for engineering. I'll personally confirm the refund as soon as Stripe clears it.
Customer reports a duplicate charge; refund queued, awaiting confirmation.
Customer asking what's included on the Growth plan vs. Pro.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Riverline Co.9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket #5104.
Reason: Confidence above auto-send threshold; voice match passed; SLA at-risk.
- Agent9:11 AM
Drafted reply in your team's voice.
- Agent9:10 AM
Pulled customer plan, prior tickets, and account context.
- Agent9:09 AM
Triaged #5104 as the matching topic.
Frequently asked questions
Arahi AI connects natively with Apify to handle the full ticket routing workflow. The AI agent monitors Apify events, processes ticket routing tasks automatically, and writes results back to Apify — no copy-pasting or tab-switching required.
The Apify integration automates end-to-end ticket routing — including data capture from Apify, validation, routing, follow-up actions, and status updates. Every ticket routing step that touches Apify can be handled by the AI agent.
The ticket routing agent scales automatically as your Apify activity grows. Whether you process 10 or 10,000 ticket routing tasks per day from Apify, the AI handles the volume without slowdowns or additional configuration.
All data exchanged between Apify and Arahi AI during ticket routing processing is encrypted in transit and at rest. We use OAuth tokens for Apify access, never store raw credentials, and maintain full audit logs of every ticket routing action.
The agent reads ticket content, applies apify-specific tags (issue type, urgency, customer tier, product area), and routes to the right queue or agent — typically within seconds of ticket creation. Misroutes drop to near zero.
Yes. The agent analyzes ticket sentiment and language patterns to flag frustrated or at-risk customers, prioritizing them for senior-agent attention before satisfaction degrades into churn or public complaints.
When the AI hits an edge case during ticket routing processing in Apify, it escalates to your team with full context — the Apify record, what was attempted, and why it needs review. Your ticket routing pipeline never stalls or loses data.
Manual ticket routing in Apify requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling ticket routing tasks in real-time as Apify events occur — running 24/7 with consistent accuracy and zero fatigue.
Yes. You can run ticket routing workflows in test mode using sample Apify data before activating on live records. This lets you verify every ticket routing rule works correctly with your Apify setup before processing real data.
No coding required. The no-code builder walks you through connecting Apify and configuring ticket routing rules visually. Your team can set up, modify, and manage Apify-based ticket routing workflows without any developer involvement.
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